Rates of Return of Social Protection in Cambodia

Page 64

on household consumption will be included in the dynamic microsimulation to approximate micro level economic effects of SPI over time. Figure 4 shows the distribution of household consumption per capita by quintiles and regions. Figures indicate median values, and 50% confidence intervals, of household consumption per capita per month. Upper ends are above USD 180 for the fifth quintile and for all regions. At the national level the median is USD 59. The ratio between the richest 20% (quintile 5) and the poorest 20% (quintile 1) is 4.2, and between Phnom Penh and other rural areas 1.9. Figure 4: Per capita household consumption, per month, by quintile and region (2009) USD (Phnom Penh prices)

USD (Phnom Penh prices)

180

180

160

160

140

140

134

120

120 105

100 60

60

80 54

46

40

100 83

81

80

59 60

40

32

20

20

0

0 Q1

Q2

Q3

Q4

Food Poverty Line

Q5

Phnom Other Other Total Penh Urban Rural Total Poverty Line

Note: Household consumption and poverty lines follow the “updated” methodology (Box 1) Source: Own calculations based on the CSES 2009

Jacob Mincer in his seminal work of 1974, states that the logarithm of wage is a linear function of schooling and quadratic for experience. However, this formulation assumes that the return on education is constant for all levels of education. New formulations have been developed relaxing this assumption and providing evidence about returns at different levels of education (e.g. Schady, 2000; Heckman et al, 2003). Following Schady (2000) a function to estimate the return of education can be defined as:

ln Wi      1Ei   2 Ei2  E Si   Ni   i

(Equation 3)

where, i refers to individuals, Wi indicates wages, Ei is the number of completed years of experience, S i refers to level of schooling (i.e. number of completed years of education) or dummy

variables for the last year of education achieved, N i includes observable characteristics at the individual level (Table 42 in Annex 3), and  i is the error term, assumed to be normally distributed with mean zero,  ,  1  2  E  are parameters to be estimated. , , ,

53


Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.